ReviewTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2025
Genetic dissection for seedling root-related traits using multiple-methods in bread wheat (Triticum aestivum L.).
Review in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Multi-locus genome-wide association study on the rheological traits in wheat flour dough.BMC genomics · 2026Article
- An integrated multiple analysis reveals the genetic information associated with root-related traits in wheat (Triticum aestivum L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
key messageSeveral quantitative trait loci (QTL) and structural chromosome variations (SCVs) related to seedling root traits were identified using multiple methods, which provided valuable insights to assist breeding efforts in wheat. The root system of wheat affects water and fertilizer use efficiency, stress tolerance, and agronomic traits. Using association analysis and linkage mapping, QTL associated with 11 seedling-stage root traits were identified with single nucleotide polymorphisms (SNPs) and SCVs under both hydroponic nutrient solution culture experiment (NCE) and vermiculite culture experiment (VCE). Except for maximum root length (MRL), the root traits of seedlings under NCE and VCE differed significantly. Root fresh weight (RFW) and root dry weight (RDW) were significantly correlated with most agronomic traits and grain yield. Identification of RFW and RDW by NCE might provide a reference basis for VCE. Co-localization analysis revealed that NCE and VCE simultaneously detected SNP-loci viz. QRdw.sxau-6A, QRd.sxau-1B.2, and QDw.sxau-6A (5.56-8.76% of R
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.